Longjam Langamba Angom, Tsering Dechen Chomu, Das Dipmala
Department of Microbiology, Sikkim Manipal Institute of Medical Sciences, Gangtok, Sikkim, India.
Department of Microbiology, IQ City Medical College and Hospital, Durgapur, West Bengal, India.
J Lab Physicians. 2021 Sep 22;14(2):169-174. doi: 10.1055/s-0041-1735583. eCollection 2022 Jun.
The outbreak of ( ) is mainly reported to be a notorious pathogens at health-care settings. It is the major problem on the health-care system with high morbidity and mortality rates because of the broad range of antibiotic resistance and lack of understanding the mechanism of developing new antibiotic resistance rapidly. It emphasizes the importance of local surveillance in describing or understanding and predicting microbial resistance patterns so that there will be limited use of antibiotics by developing strategies to control the extensive use of antimicrobial chemotherapy in clinical environment, which is still considered as one of the factors in the emergence of multidrug resistance microorganisms. The study aims to detect the occurrence rate of infections from various clinical samples, identify the resistance levels to different groups of antimicrobial agents, and the occurrence rate of multidrug resistant (MDR) clinical isolates from a tertiary hospital in Durgapur, West Bengal, India. The study was performed in the Department of Microbiology of the IQ City Medical College and Hospital, Durgapur, West Bengal, India, for the 24 months duration, that is, from January 1, 2018 to December 31, 2019. Altogether 15,800 clinical samples consisting of endotracheal tube aspirates, sputum, pus, blood, catheter tips, urine, tissue, and other body fluids were studied. from clinical samples were identified by its characteristic colonies (nonlactose fermenting, glistening, small mucoid colonies), Gram-staining pattern (Gram-negative coccobacillus), and standard biochemical reactions. It was further confirmed in the Department of Microbiology of the Healthworld Hospital, Durgapur, West Bengal, India, by Vitek2 compact system (bioMerieux, Inc., Durham, North Carolina, United States). Antibiotic susceptibility testing was performed using automated broth microdilutions by Vitek2 compact system (bioMerieux, Inc.) and Kirby-Bauer disk diffusion test on Mueller-Hinton Agar (HiMedia). Nonrepetitive 289 were isolated from various clinical samples. A total of 277 (96%) isolates of were MDR strains. was mostly isolated from the intensive care unit department and was found to be the most MDR type in the tertiary care hospital by this study.
（ ）的爆发主要被报道为医疗机构中一种臭名昭著的病原体。由于其广泛的抗生素耐药性以及对迅速产生新的抗生素耐药性机制缺乏了解，它是医疗系统面临的主要问题，发病率和死亡率都很高。这凸显了当地监测在描述、理解和预测微生物耐药模式方面的重要性，以便通过制定策略来控制临床环境中抗菌化疗的广泛使用，从而限制抗生素的使用，而临床环境中抗菌化疗的广泛使用仍被认为是多重耐药微生物出现的因素之一。本研究旨在检测印度西孟加拉邦杜尔加布尔一家三级医院各类临床样本中（ ）感染的发生率，确定对不同组抗菌药物的耐药水平，以及多重耐药（MDR）（ ）临床分离株的发生率。本研究在印度西孟加拉邦杜尔加布尔IQ市医学院和医院的微生物学系进行，为期24个月，即从2018年1月1日至2019年12月31日。共研究了15800份临床样本，包括气管内吸出物、痰液、脓液、血液、导管尖端、尿液、组织和其他体液。通过其特征性菌落（非乳糖发酵、有光泽、小黏液样菌落）、革兰氏染色模式（革兰氏阴性球杆菌）和标准生化反应从临床样本中鉴定出（ ）。在印度西孟加拉邦杜尔加布尔的Healthworld医院微生物学系通过Vitek2 compact系统（美国北卡罗来纳州达勒姆的bioMerieux公司）进一步确认。使用Vitek2 compact系统（bioMerieux公司）通过自动肉汤微量稀释法以及在穆勒-欣顿琼脂（HiMedia）上进行 Kirby-Bauer 纸片扩散试验进行抗生素敏感性测试。从各类临床样本中分离出289株非重复的（ ）。总共277株（96%）（ ）分离株为多重耐药菌株。（ ）大多从重症监护病房分离出来，并且通过本研究发现在三级医院中它是多重耐药类型最多的。
